Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	41815
Missing cells	615
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.1 MiB
Average record size in memory	128.0 B

Variable types

Text	6
Categorical	4
Numeric	6

Alerts

`Clean Alternative Fuel Vehicle (CAFV) Eligibility` is highly overall correlated with `Electric Range` and 1 other fields	High correlation
`Electric Range` is highly overall correlated with `Clean Alternative Fuel Vehicle (CAFV) Eligibility` and 1 other fields	High correlation
`Electric Vehicle Type` is highly overall correlated with `Clean Alternative Fuel Vehicle (CAFV) Eligibility` and 2 other fields	High correlation
`Make` is highly overall correlated with `Electric Vehicle Type`	High correlation
`State` is highly overall correlated with `ZIP Code`	High correlation
`ZIP Code` is highly overall correlated with `State`	High correlation
`State` is highly imbalanced (99.3%)	Imbalance
`Electric Utility` has 494 (1.2%) missing values	Missing
`ZIP Code` is highly skewed (γ1 = -25.0907059)	Skewed
`Electric Range` has 10618 (25.4%) zeros	Zeros
`Base MSRP` has 39924 (95.5%) zeros	Zeros

Reproduction

Analysis started	2024-07-22 13:35:37.791424
Analysis finished	2024-07-22 13:35:52.852020
Duration	15.06 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

VIN (1-10)
Text

Distinct	5221
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	418150
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1514 ?
Unique (%)	3.6%

Sample

1st row	1N4AZ0CP3E
2nd row	1N4AZ1CP2J
3rd row	WBY1Z8C50H
4th row	5YJ3E1EA0J
5th row	WVWPR7AU6K

Value	Count	Frequency (%)
5yjygdee8m	223	0.5%
5yjygdee9m	214	0.5%
5yjygdeexm	201	0.5%
5yjygdee7m	193	0.5%
5yjygdee2m	191	0.5%
5yjygdee0m	178	0.4%
5yjygdee3m	172	0.4%
5yj3e1ebxj	168	0.4%
5yjygdee6m	163	0.4%
5yjygdee5m	161	0.4%
Other values (5211)	39951	95.5%

Most occurring characters

Value	Count	Frequency (%)
1	36566	8.7%
E	35539	8.5%
J	27079	6.5%
5	24631	5.9%
Y	24092	5.8%
A	21092	5.0%
3	18283	4.4%
C	17144	4.1%
D	14675	3.5%
G	14270	3.4%
Other values (23)	184779	44.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	418150	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	36566	8.7%
E	35539	8.5%
J	27079	6.5%
5	24631	5.9%
Y	24092	5.8%
A	21092	5.0%
3	18283	4.4%
C	17144	4.1%
D	14675	3.5%
G	14270	3.4%
Other values (23)	184779	44.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	418150	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	36566	8.7%
E	35539	8.5%
J	27079	6.5%
5	24631	5.9%
Y	24092	5.8%
A	21092	5.0%
3	18283	4.4%
C	17144	4.1%
D	14675	3.5%
G	14270	3.4%
Other values (23)	184779	44.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	418150	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	36566	8.7%
E	35539	8.5%
J	27079	6.5%
5	24631	5.9%
Y	24092	5.8%
A	21092	5.0%
3	18283	4.4%
C	17144	4.1%
D	14675	3.5%
G	14270	3.4%
Other values (23)	184779	44.2%

County
Text

Distinct	107
Distinct (%)	0.3%
Missing	2
Missing (%)	< 0.1%
Memory size	326.8 KiB

Length

Max length	20
Median length	4
Mean length	5.4578959
Min length	4

Characters and Unicode

Total characters	228211
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	0.1%

Sample

1st row	King
2nd row	King
3rd row	King
4th row	Riverside
5th row	King

Value	Count	Frequency (%)
king	21815	51.4%
snohomish	4489	10.6%
pierce	3118	7.3%
clark	2472	5.8%
thurston	1579	3.7%
kitsap	1496	3.5%
whatcom	1126	2.7%
spokane	1019	2.4%
island	503	1.2%
skagit	490	1.2%
Other values (108)	4330	10.2%

Most occurring characters

Value	Count	Frequency (%)
i	32974	14.4%
n	32398	14.2%
K	23526	10.3%
g	22482	9.9%
o	14295	6.3%
h	12020	5.3%
a	10989	4.8%
s	9270	4.1%
e	8976	3.9%
r	8303	3.6%
Other values (39)	52978	23.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	228211	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	32974	14.4%
n	32398	14.2%
K	23526	10.3%
g	22482	9.9%
o	14295	6.3%
h	12020	5.3%
a	10989	4.8%
s	9270	4.1%
e	8976	3.9%
r	8303	3.6%
Other values (39)	52978	23.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	228211	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	32974	14.4%
n	32398	14.2%
K	23526	10.3%
g	22482	9.9%
o	14295	6.3%
h	12020	5.3%
a	10989	4.8%
s	9270	4.1%
e	8976	3.9%
r	8303	3.6%
Other values (39)	52978	23.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	228211	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	32974	14.4%
n	32398	14.2%
K	23526	10.3%
g	22482	9.9%
o	14295	6.3%
h	12020	5.3%
a	10989	4.8%
s	9270	4.1%
e	8976	3.9%
r	8303	3.6%
Other values (39)	52978	23.2%

City
Text

Distinct	475
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

Length

Max length	24
Median length	19
Mean length	8.2404161
Min length	3

Characters and Unicode

Total characters	344573
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	141 ?
Unique (%)	0.3%

Sample

1st row	RENTON
2nd row	REDMOND
3rd row	SEATTLE
4th row	WILDOMAR
5th row	AUBURN

Value	Count	Frequency (%)
seattle	7842	16.2%
bellevue	2192	4.5%
redmond	1516	3.1%
vancouver	1447	3.0%
island	1338	2.8%
kirkland	1333	2.7%
sammamish	1220	2.5%
bothell	1138	2.3%
olympia	1014	2.1%
renton	997	2.1%
Other values (507)	28443	58.7%

Most occurring characters

Value	Count	Frequency (%)
E	49684	14.4%
A	34818	10.1%
L	33168	9.6%
T	26468	7.7%
N	23031	6.7%
S	21508	6.2%
O	21403	6.2%
R	17704	5.1%
I	15304	4.4%
M	13631	4.0%
Other values (17)	87854	25.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	344573	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	49684	14.4%
A	34818	10.1%
L	33168	9.6%
T	26468	7.7%
N	23031	6.7%
S	21508	6.2%
O	21403	6.2%
R	17704	5.1%
I	15304	4.4%
M	13631	4.0%
Other values (17)	87854	25.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	344573	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	49684	14.4%
A	34818	10.1%
L	33168	9.6%
T	26468	7.7%
N	23031	6.7%
S	21508	6.2%
O	21403	6.2%
R	17704	5.1%
I	15304	4.4%
M	13631	4.0%
Other values (17)	87854	25.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	344573	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	49684	14.4%
A	34818	10.1%
L	33168	9.6%
T	26468	7.7%
N	23031	6.7%
S	21508	6.2%
O	21403	6.2%
R	17704	5.1%
I	15304	4.4%
M	13631	4.0%
Other values (17)	87854	25.5%

State
Categorical

HIGH CORRELATION IMBALANCE

Distinct	37
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

WA	41701
CA	25
MD	17
VA	10
TX	5
Other values (32)	57

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	83630
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	< 0.1%

Sample

1st row	WA
2nd row	WA
3rd row	WA
4th row	CA
5th row	WA

Common Values

Value	Count	Frequency (%)
WA	41701	99.7%
CA	25	0.1%
MD	17	< 0.1%
VA	10	< 0.1%
TX	5	< 0.1%
CT	4	< 0.1%
NC	4	< 0.1%
FL	4	< 0.1%
NJ	3	< 0.1%
PA	3	< 0.1%
Other values (27)	39	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wa	41701	99.7%
ca	25	0.1%
md	17	< 0.1%
va	10	< 0.1%
tx	5	< 0.1%
ct	4	< 0.1%
nc	4	< 0.1%
fl	4	< 0.1%
nj	3	< 0.1%
pa	3	< 0.1%
Other values (27)	39	0.1%

Most occurring characters

Value	Count	Frequency (%)
A	41747	49.9%
W	41702	49.9%
C	37	< 0.1%
M	24	< 0.1%
D	22	< 0.1%
N	18	< 0.1%
T	13	< 0.1%
V	12	< 0.1%
L	7	< 0.1%
P	6	< 0.1%
Other values (13)	42	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	83630	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	41747	49.9%
W	41702	49.9%
C	37	< 0.1%
M	24	< 0.1%
D	22	< 0.1%
N	18	< 0.1%
T	13	< 0.1%
V	12	< 0.1%
L	7	< 0.1%
P	6	< 0.1%
Other values (13)	42	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	83630	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	41747	49.9%
W	41702	49.9%
C	37	< 0.1%
M	24	< 0.1%
D	22	< 0.1%
N	18	< 0.1%
T	13	< 0.1%
V	12	< 0.1%
L	7	< 0.1%
P	6	< 0.1%
Other values (13)	42	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	83630	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	41747	49.9%
W	41702	49.9%
C	37	< 0.1%
M	24	< 0.1%
D	22	< 0.1%
N	18	< 0.1%
T	13	< 0.1%
V	12	< 0.1%
L	7	< 0.1%
P	6	< 0.1%
Other values (13)	42	0.1%

ZIP Code
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	595
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98131.074

Minimum	745
Maximum	99567
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	745
5-th percentile	98006
Q1	98052
median	98121
Q3	98370
95-th percentile	98926
Maximum	99567
Range	98822
Interquartile range (IQR)	318

Descriptive statistics

Standard deviation	3024.2316
Coefficient of variation (CV)	0.030818287
Kurtosis	655.63479
Mean	98131.074
Median Absolute Deviation (MAD)	100
Skewness	-25.090706
Sum	4.1033508 × 10⁹
Variance	9145976.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98052	1070	2.6%
98004	773	1.8%
98033	763	1.8%
98115	739	1.8%
98006	660	1.6%
98012	643	1.5%
98074	640	1.5%
98040	608	1.5%
98103	587	1.4%
98034	570	1.4%
Other values (585)	34762	83.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
745	1	< 0.1%
2124	1	< 0.1%
2842	1	< 0.1%
6340	2	< 0.1%
6371	1	< 0.1%
6379	1	< 0.1%
7094	1	< 0.1%
7438	1	< 0.1%
8033	1	< 0.1%
11201	1	< 0.1%

Value	Count	Frequency (%)
99567	1	< 0.1%
99403	19	< 0.1%
99402	6	< 0.1%
99362	96	0.2%
99361	4	< 0.1%
99360	2	< 0.1%
99357	3	< 0.1%
99356	1	< 0.1%
99354	68	0.2%
99353	48	0.1%

Model Year
Real number (ℝ)

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.3373

Minimum	1998
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	1998
5-th percentile	2013
Q1	2017
median	2019
Q3	2021
95-th percentile	2022
Maximum	2022
Range	24
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7817191
Coefficient of variation (CV)	0.0013782231
Kurtosis	-0.04230082
Mean	2018.3373
Median Absolute Deviation (MAD)	2
Skewness	-0.68291154
Sum	84396775
Variance	7.7379613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2021	8164	19.5%
2018	6073	14.5%
2019	4650	11.1%
2020	4624	11.1%
2017	4206	10.1%
2022	4194	10.0%
2016	2772	6.6%
2015	2207	5.3%
2013	2181	5.2%
2014	1595	3.8%
Other values (8)	1149	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1998	1	< 0.1%
1999	1	< 0.1%
2000	6	< 0.1%
2002	2	< 0.1%
2008	5	< 0.1%
2010	4	< 0.1%
2011	364	0.9%
2012	766	1.8%
2013	2181	5.2%
2014	1595	3.8%

Value	Count	Frequency (%)
2022	4194	10.0%
2021	8164	19.5%
2020	4624	11.1%
2019	4650	11.1%
2018	6073	14.5%
2017	4206	10.1%
2016	2772	6.6%
2015	2207	5.3%
2014	1595	3.8%
2013	2181	5.2%

Make
Categorical

HIGH CORRELATION

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

TESLA	17634
NISSAN	5837
CHEVROLET	4316
FORD	2372
KIA	2046
Other values (28)	9610

Length

Max length	20
Median length	14
Mean length	5.6078441
Min length	3

Characters and Unicode

Total characters	234492
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NISSAN
2nd row	NISSAN
3rd row	BMW
4th row	TESLA
5th row	VOLKSWAGEN

Common Values

Value	Count	Frequency (%)
TESLA	17634	42.2%
NISSAN	5837	14.0%
CHEVROLET	4316	10.3%
FORD	2372	5.7%
KIA	2046	4.9%
TOYOTA	1741	4.2%
BMW	1717	4.1%
VOLKSWAGEN	963	2.3%
AUDI	862	2.1%
VOLVO	677	1.6%
Other values (23)	3650	8.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tesla	17634	42.1%
nissan	5837	14.0%
chevrolet	4316	10.3%
ford	2372	5.7%
kia	2046	4.9%
toyota	1741	4.2%
bmw	1717	4.1%
volkswagen	963	2.3%
audi	862	2.1%
volvo	677	1.6%
Other values (28)	3676	8.8%

Most occurring characters

Value	Count	Frequency (%)
S	32152	13.7%
A	30909	13.2%
E	29742	12.7%
T	26273	11.2%
L	24553	10.5%
N	14107	6.0%
O	13337	5.7%
I	11023	4.7%
R	8759	3.7%
V	6662	2.8%
Other values (17)	36975	15.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	234492	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	32152	13.7%
A	30909	13.2%
E	29742	12.7%
T	26273	11.2%
L	24553	10.5%
N	14107	6.0%
O	13337	5.7%
I	11023	4.7%
R	8759	3.7%
V	6662	2.8%
Other values (17)	36975	15.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	234492	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	32152	13.7%
A	30909	13.2%
E	29742	12.7%
T	26273	11.2%
L	24553	10.5%
N	14107	6.0%
O	13337	5.7%
I	11023	4.7%
R	8759	3.7%
V	6662	2.8%
Other values (17)	36975	15.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	234492	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	32152	13.7%
A	30909	13.2%
E	29742	12.7%
T	26273	11.2%
L	24553	10.5%
N	14107	6.0%
O	13337	5.7%
I	11023	4.7%
R	8759	3.7%
V	6662	2.8%
Other values (17)	36975	15.8%

Model
Text

Distinct	106
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

Length

Max length	24
Median length	21
Mean length	6.2040894
Min length	2

Characters and Unicode

Total characters	259424
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	LEAF
2nd row	LEAF
3rd row	I3
4th row	MODEL 3
5th row	E-GOLF

Value	Count	Frequency (%)
model	17622	27.2%
3	8319	12.8%
leaf	5837	9.0%
y	5062	7.8%
s	2918	4.5%
volt	2182	3.4%
ev	2117	3.3%
bolt	2013	3.1%
niro	1502	2.3%
prius	1438	2.2%
Other values (99)	15730	24.3%

Most occurring characters

Value	Count	Frequency (%)
L	30741	11.8%
E	30638	11.8%
O	26964	10.4%
	22925	8.8%
M	20128	7.8%
D	18911	7.3%
A	11699	4.5%
I	9908	3.8%
3	9882	3.8%
F	8416	3.2%
Other values (27)	69212	26.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	259424	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	30741	11.8%
E	30638	11.8%
O	26964	10.4%
	22925	8.8%
M	20128	7.8%
D	18911	7.3%
A	11699	4.5%
I	9908	3.8%
3	9882	3.8%
F	8416	3.2%
Other values (27)	69212	26.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	259424	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	30741	11.8%
E	30638	11.8%
O	26964	10.4%
	22925	8.8%
M	20128	7.8%
D	18911	7.3%
A	11699	4.5%
I	9908	3.8%
3	9882	3.8%
F	8416	3.2%
Other values (27)	69212	26.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	259424	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	30741	11.8%
E	30638	11.8%
O	26964	10.4%
	22925	8.8%
M	20128	7.8%
D	18911	7.3%
A	11699	4.5%
I	9908	3.8%
3	9882	3.8%
F	8416	3.2%
Other values (27)	69212	26.7%

Electric Vehicle Type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

Battery Electric Vehicle (BEV)	31031
Plug-in Hybrid Electric Vehicle (PHEV)	10784

Length

Max length	38
Median length	30
Mean length	32.063183
Min length	30

Characters and Unicode

Total characters	1340722
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Battery Electric Vehicle (BEV)
2nd row	Battery Electric Vehicle (BEV)
3rd row	Plug-in Hybrid Electric Vehicle (PHEV)
4th row	Battery Electric Vehicle (BEV)
5th row	Battery Electric Vehicle (BEV)

Common Values

Value	Count	Frequency (%)
Battery Electric Vehicle (BEV)	31031	74.2%
Plug-in Hybrid Electric Vehicle (PHEV)	10784	25.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
electric	41815	23.5%
vehicle	41815	23.5%
battery	31031	17.4%
bev	31031	17.4%
plug-in	10784	6.1%
hybrid	10784	6.1%
phev	10784	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	156476	11.7%
	136229	10.2%
c	125445	9.4%
i	105198	7.8%
t	103877	7.7%
l	94414	7.0%
V	83630	6.2%
r	83630	6.2%
E	83630	6.2%
B	62062	4.6%
Other values (13)	306131	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1340722	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	156476	11.7%
	136229	10.2%
c	125445	9.4%
i	105198	7.8%
t	103877	7.7%
l	94414	7.0%
V	83630	6.2%
r	83630	6.2%
E	83630	6.2%
B	62062	4.6%
Other values (13)	306131	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1340722	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	156476	11.7%
	136229	10.2%
c	125445	9.4%
i	105198	7.8%
t	103877	7.7%
l	94414	7.0%
V	83630	6.2%
r	83630	6.2%
E	83630	6.2%
B	62062	4.6%
Other values (13)	306131	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1340722	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	156476	11.7%
	136229	10.2%
c	125445	9.4%
i	105198	7.8%
t	103877	7.7%
l	94414	7.0%
V	83630	6.2%
r	83630	6.2%
E	83630	6.2%
B	62062	4.6%
Other values (13)	306131	22.8%

Clean Alternative Fuel Vehicle (CAFV) Eligibility
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	326.8 KiB

Clean Alternative Fuel Vehicle Eligible	24916
Eligibility unknown as battery range has not been researched	10618
Not eligible due to low battery range	6280
Eligibility unknown as battery	1

Length

Max length	60
Median length	39
Mean length	44.031902
Min length	30

Characters and Unicode

Total characters	1841194
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Clean Alternative Fuel Vehicle Eligible
2nd row	Clean Alternative Fuel Vehicle Eligible
3rd row	Clean Alternative Fuel Vehicle Eligible
4th row	Clean Alternative Fuel Vehicle Eligible
5th row	Clean Alternative Fuel Vehicle Eligible

Common Values

Value	Count	Frequency (%)
Clean Alternative Fuel Vehicle Eligible	24916	59.6%
Eligibility unknown as battery range has not been researched	10618	25.4%
Not eligible due to low battery range	6280	15.0%
Eligibility unknown as battery	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eligible	31196	11.8%
clean	24916	9.4%
alternative	24916	9.4%
fuel	24916	9.4%
vehicle	24916	9.4%
battery	16899	6.4%
range	16898	6.4%
not	16898	6.4%
unknown	10619	4.0%
as	10619	4.0%
Other values (7)	61313	23.2%

Most occurring characters

Value	Count	Frequency (%)
e	280139	15.2%
	222291	12.1%
l	189574	10.3%
i	154700	8.4%
n	119823	6.5%
t	117427	6.4%
a	115484	6.3%
r	79949	4.3%
b	69332	3.8%
g	58713	3.2%
Other values (16)	433762	23.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1841194	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	280139	15.2%
	222291	12.1%
l	189574	10.3%
i	154700	8.4%
n	119823	6.5%
t	117427	6.4%
a	115484	6.3%
r	79949	4.3%
b	69332	3.8%
g	58713	3.2%
Other values (16)	433762	23.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1841194	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	280139	15.2%
	222291	12.1%
l	189574	10.3%
i	154700	8.4%
n	119823	6.5%
t	117427	6.4%
a	115484	6.3%
r	79949	4.3%
b	69332	3.8%
g	58713	3.2%
Other values (16)	433762	23.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1841194	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	280139	15.2%
	222291	12.1%
l	189574	10.3%
i	154700	8.4%
n	119823	6.5%
t	117427	6.4%
a	115484	6.3%
r	79949	4.3%
b	69332	3.8%
g	58713	3.2%
Other values (16)	433762	23.6%

Electric Range
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	96
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	101.25604

Minimum	0
Maximum	337
Zeros	10618
Zeros (%)	25.4%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	68
Q3	215
95-th percentile	291
Maximum	337
Range	337
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	103.07649
Coefficient of variation (CV)	1.0179787
Kurtosis	-1.1493703
Mean	101.25604
Median Absolute Deviation (MAD)	68
Skewness	0.60754225
Sum	4233920
Variance	10624.763
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10618	25.4%
215	2645	6.3%
84	1941	4.6%
220	1702	4.1%
238	1589	3.8%
25	1217	2.9%
53	1062	2.5%
208	1041	2.5%
19	1034	2.5%
291	999	2.4%
Other values (86)	17966	43.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10618	25.4%
6	419	1.0%
8	18	< 0.1%
9	15	< 0.1%
10	75	0.2%
11	1	< 0.1%
12	54	0.1%
13	194	0.5%
14	462	1.1%
15	28	0.1%

Value	Count	Frequency (%)
337	29	0.1%
330	136	0.3%
322	701	1.7%
308	225	0.5%
293	161	0.4%
291	999	2.4%
289	233	0.6%
270	86	0.2%
266	548	1.3%
265	62	0.1%

Base MSRP
Real number (ℝ)

ZEROS

Distinct	36
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2383.5447

Minimum	0
Maximum	845000
Zeros	39924
Zeros (%)	95.5%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	845000
Range	845000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12274.895
Coefficient of variation (CV)	5.1498488
Kurtosis	555.60828
Mean	2383.5447
Median Absolute Deviation (MAD)	0
Skewness	12.210596
Sum	99665540
Variance	1.5067305 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
0	39924	95.5%
69900	648	1.5%
34600	216	0.5%
31950	175	0.4%
52900	118	0.3%
28500	104	0.2%
38500	73	0.2%
54950	71	0.2%
32250	67	0.2%
59900	62	0.1%
Other values (26)	356	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	39924	95.5%
28500	104	0.2%
31950	175	0.4%
32250	67	0.2%
32995	2	< 0.1%
33950	36	0.1%
34600	216	0.5%
34995	9	< 0.1%
35390	2	< 0.1%
36800	19	< 0.1%

Value	Count	Frequency (%)
845000	1	< 0.1%
184400	5	< 0.1%
110950	4	< 0.1%
109000	3	< 0.1%
102000	10	< 0.1%
98950	5	< 0.1%
91250	2	< 0.1%
90700	4	< 0.1%
89100	2	< 0.1%
81100	5	< 0.1%

Legislative District
Real number (ℝ)

Distinct	50
Distinct (%)	0.1%
Missing	114
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	29.990672

Minimum	0
Maximum	49
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	19
median	34
Q3	43
95-th percentile	48
Maximum	49
Range	49
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	14.596062
Coefficient of variation (CV)	0.48668673
Kurtosis	-0.95088419
Mean	29.990672
Median Absolute Deviation (MAD)	11
Skewness	-0.55642751
Sum	1250641
Variance	213.04502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	2756	6.6%
45	2700	6.5%
48	2386	5.7%
36	2056	4.9%
46	1856	4.4%
43	1823	4.4%
5	1664	4.0%
1	1655	4.0%
34	1327	3.2%
37	1313	3.1%
Other values (40)	22165	53.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1655	4.0%
2	458	1.1%
3	220	0.5%
4	304	0.7%
5	1664	4.0%
6	367	0.9%
7	198	0.5%
8	397	0.9%
9	226	0.5%

Value	Count	Frequency (%)
49	591	1.4%
48	2386	5.7%
47	626	1.5%
46	1856	4.4%
45	2700	6.5%
44	941	2.3%
43	1823	4.4%
42	642	1.5%
41	2756	6.6%
40	1042	2.5%

DOL Vehicle ID
Real number (ℝ)

Distinct	41814
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.9706316 × 10⁸

Minimum	4777
Maximum	4.7925477 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	326.8 KiB

Quantile statistics

Minimum	4777
5-th percentile	9901988.8
Q1	1.3956917 × 10⁸
median	1.7917363 × 10⁸
Q3	2.216996 × 10⁸
95-th percentile	4.7514774 × 10⁸
Maximum	4.7925477 × 10⁸
Range	4.7925 × 10⁸
Interquartile range (IQR)	82130433

Descriptive statistics

Standard deviation	1.0358884 × 10⁸
Coefficient of variation (CV)	0.52566313
Kurtosis	1.6011799
Mean	1.9706316 × 10⁸
Median Absolute Deviation (MAD)	40457666
Skewness	1.1347158
Sum	8.2399989 × 10¹²
Variance	1.0730647 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250845815	1	< 0.1%
106918892	1	< 0.1%
200413349	1	< 0.1%
194129127	1	< 0.1%
171548079	1	< 0.1%
176430803	1	< 0.1%
117100077	1	< 0.1%
117100518	1	< 0.1%
169591530	1	< 0.1%
349980753	1	< 0.1%
Other values (41804)	41804	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4777	1	< 0.1%
10286	1	< 0.1%
10734	1	< 0.1%
24629	1	< 0.1%
27702	1	< 0.1%
35325	1	< 0.1%
62261	1	< 0.1%
63486	1	< 0.1%
96589	1	< 0.1%
111667	1	< 0.1%

Value	Count	Frequency (%)
479254772	1	< 0.1%
479114996	1	< 0.1%
478935460	1	< 0.1%
478926346	1	< 0.1%
478925947	1	< 0.1%
478909938	1	< 0.1%
478904569	1	< 0.1%
478887076	1	< 0.1%
478879985	1	< 0.1%
478875407	1	< 0.1%

Vehicle Location
Text

Distinct	591
Distinct (%)	1.4%
Missing	2
Missing (%)	< 0.1%
Memory size	326.8 KiB

Length

Max length	29
Median length	29
Mean length	28.841054
Min length	21

Characters and Unicode

Total characters	1205931
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	157 ?
Unique (%)	0.4%

Sample

1st row	POINT (-122.132064 47.494834)
2nd row	POINT (-122.024951 47.670286)
3rd row	POINT (-122.303604 47.716244)
4th row	POINT (-117.261693 33.614732)
5th row	POINT (-122.148214 47.292978)

Value	Count	Frequency (%)
point	41813	33.3%
47.678465	1070	0.9%
122.122018	1070	0.9%
122.132064	798	0.6%
122.203169	773	0.6%
47.619011	773	0.6%
47.678406	763	0.6%
122.188994	763	0.6%
122.297534	739	0.6%
47.685291	739	0.6%
Other values (1172)	76138	60.7%

Most occurring characters

Value	Count	Frequency (%)
2	125059	10.4%
1	100597	8.3%
4	97928	8.1%
.	83626	6.9%
	83626	6.9%
7	77888	6.5%
6	59179	4.9%
3	55133	4.6%
8	50165	4.2%
5	49698	4.1%
Other values (10)	423032	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1205931	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	125059	10.4%
1	100597	8.3%
4	97928	8.1%
.	83626	6.9%
	83626	6.9%
7	77888	6.5%
6	59179	4.9%
3	55133	4.6%
8	50165	4.2%
5	49698	4.1%
Other values (10)	423032	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1205931	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	125059	10.4%
1	100597	8.3%
4	97928	8.1%
.	83626	6.9%
	83626	6.9%
7	77888	6.5%
6	59179	4.9%
3	55133	4.6%
8	50165	4.2%
5	49698	4.1%
Other values (10)	423032	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1205931	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	125059	10.4%
1	100597	8.3%
4	97928	8.1%
.	83626	6.9%
	83626	6.9%
7	77888	6.5%
6	59179	4.9%
3	55133	4.6%
8	50165	4.2%
5	49698	4.1%
Other values (10)	423032	35.1%

Electric Utility
Text

MISSING

Distinct	64
Distinct (%)	0.2%
Missing	494
Missing (%)	1.2%
Memory size	326.8 KiB

Length

Max length	112
Median length	110
Mean length	44.709325
Min length	11

Characters and Unicode

Total characters	1847434
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
2nd row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
3rd row	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
4th row	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
5th row	PUGET SOUND ENERGY INC

Value	Count	Frequency (%)
of	40269	12.9%
	37556	12.0%
wa	25685	8.2%
tacoma	25319	8.1%
sound	24221	7.7%
energy	24221	7.7%
puget	23942	7.6%
inc\|\|city	14618	4.7%
power	9211	2.9%
city	8345	2.7%
Other values (97)	79919	25.5%

Most occurring characters

Value	Count	Frequency (%)
	271985	14.7%
O	136375	7.4%
T	129780	7.0%
N	129407	7.0%
A	126019	6.8%
E	120044	6.5%
C	100019	5.4%
I	99987	5.4%
Y	67691	3.7%
U	63519	3.4%
Other values (26)	602608	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1847434	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	271985	14.7%
O	136375	7.4%
T	129780	7.0%
N	129407	7.0%
A	126019	6.8%
E	120044	6.5%
C	100019	5.4%
I	99987	5.4%
Y	67691	3.7%
U	63519	3.4%
Other values (26)	602608	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1847434	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	271985	14.7%
O	136375	7.4%
T	129780	7.0%
N	129407	7.0%
A	126019	6.8%
E	120044	6.5%
C	100019	5.4%
I	99987	5.4%
Y	67691	3.7%
U	63519	3.4%
Other values (26)	602608	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1847434	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	271985	14.7%
O	136375	7.4%
T	129780	7.0%
N	129407	7.0%
A	126019	6.8%
E	120044	6.5%
C	100019	5.4%
I	99987	5.4%
Y	67691	3.7%
U	63519	3.4%
Other values (26)	602608	32.6%

Auto

Heatmap
Table

	Base MSRP	Clean Alternative Fuel Vehicle (CAFV) Eligibility	DOL Vehicle ID	Electric Range	Electric Vehicle Type	Legislative District	Make	Model Year	State	ZIP Code
Base MSRP	1.000	0.022	0.027	0.041	0.028	0.004	0.343	-0.192	0.000	0.002
Clean Alternative Fuel Vehicle (CAFV) Eligibility	0.022	1.000	0.336	0.673	0.734	0.043	0.492	0.381	0.000	0.000
DOL Vehicle ID	0.027	0.336	1.000	-0.062	0.072	-0.010	0.090	-0.110	0.014	-0.003
Electric Range	0.041	0.673	-0.062	1.000	0.619	0.031	0.451	-0.385	0.006	-0.034
Electric Vehicle Type	0.028	0.734	0.072	0.619	1.000	0.085	0.797	0.219	0.025	0.015
Legislative District	0.004	0.043	-0.010	0.031	0.085	1.000	0.060	0.027	0.012	-0.367
Make	0.343	0.492	0.090	0.451	0.797	0.060	1.000	0.229	0.000	0.011
Model Year	-0.192	0.381	-0.110	-0.385	0.219	0.027	0.229	1.000	0.000	-0.074
State	0.000	0.000	0.014	0.006	0.025	0.012	0.000	0.000	1.000	0.989
ZIP Code	0.002	0.000	-0.003	-0.034	0.015	-0.367	0.011	-0.074	0.989	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	VIN (1-10)	County	City	State	ZIP Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility
0	1N4AZ0CP3E	King	RENTON	WA	98059	2014	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	84.0	5.0	250845815.0	POINT (-122.132064 47.494834)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
1	1N4AZ1CP2J	King	REDMOND	WA	98053	2018	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	151.0	45.0	309178936.0	POINT (-122.024951 47.670286)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
2	WBY1Z8C50H	King	SEATTLE	WA	98125	2017	BMW	I3	Plug-in Hybrid Electric Vehicle (PHEV)	Clean Alternative Fuel Vehicle Eligible	97.0	46.0	8751711.0	POINT (-122.303604 47.716244)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
3	5YJ3E1EA0J	Riverside	WILDOMAR	CA	92595	2018	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	215.0	NaN	196439911.0	POINT (-117.261693 33.614732)	NaN
4	WVWPR7AU6K	King	AUBURN	WA	98092	2019	VOLKSWAGEN	E-GOLF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	125.0	47.0	161777584.0	POINT (-122.148214 47.292978)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
5	5YJ3E1EB5L	Charles	WALDORF	MD	20603	2020	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	322.0	NaN	105044733.0	POINT (-76.960928 38.62935)	NaN
6	5YJ3E1EB9K	Snohomish	EDMONDS	WA	98026	2019	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	220.0	21.0	474859535.0	POINT (-122.333046 47.829439)	PUGET SOUND ENERGY INC
7	1G1FY6S07L	Yakima	MOXEE	WA	98936	2020	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	259.0	15.0	125943058.0	POINT (-120.248988 46.562451)	NaN
8	5YJYGDEE6L	Snohomish	MILL CREEK	WA	98012	2020	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	291.0	44.0	128824202.0	POINT (-122.201515 47.843376)	PUGET SOUND ENERGY INC
9	JTDKARFPXL	Stevens	TUMTUM	WA	99034	2020	TOYOTA	PRIUS PRIME	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	25.0	7.0	197490114.0	POINT (-117.7489 47.884242)	NaN

	VIN (1-10)	County	City	State	ZIP Code	Model Year	Make	Model	Electric Vehicle Type	Clean Alternative Fuel Vehicle (CAFV) Eligibility	Electric Range	Base MSRP	Legislative District	DOL Vehicle ID	Vehicle Location	Electric Utility
41805	1G1FY6S00M	Clark	WASHOUGAL	WA	98671	2021	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0.0	0.0	18.0	152332498.0	POINT (-122.261993 45.622947)	BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)
41806	JTDKARFP0H	Grays Harbor	WESTPORT	WA	98595	2017	TOYOTA	PRIUS PRIME	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	25.0	0.0	19.0	171287014.0	POINT (-124.110109 46.883808)	BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF GRAYS HARBOR COUNTY
41807	5YJSA1H23F	King	KIRKLAND	WA	98033	2015	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	208.0	0.0	48.0	176119541.0	POINT (-122.188994 47.678406)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
41808	5YJYGDEE5M	King	BELLEVUE	WA	98007	2021	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0.0	0.0	48.0	150398951.0	POINT (-122.143231 47.611666)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
41809	5YJ3E1EBXN	King	ENUMCLAW	WA	98022	2022	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0.0	0.0	31.0	187300382.0	POINT (-121.991415 47.199452)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
41810	WA1F2AFY3M	King	SEATTLE	WA	98107	2021	AUDI	Q5 E	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	18.0	0.0	36.0	135055168.0	POINT (-122.375438 47.667804)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
41811	5YJ3E1EB5N	King	SEATTLE	WA	98101	2022	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0.0	0.0	43.0	193653092.0	POINT (-122.334341 47.611423)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
41812	5YJYGDEE3M	King	LAKE FOREST PARK	WA	98155	2021	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0.0	0.0	46.0	184908349.0	POINT (-122.303324 47.756486)	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)
41813	5YJ3E1EB4L	King	SEATTLE	WA	98109	2020	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	322.0	0.0	36.0	133581416.0	POINT (-122.346385 47.630685)	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)
41814	5YJ3E1EB9M	King	KIRKLAND	WA	98034	2021	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery	NaN	NaN	NaN	NaN	NaN	NaN

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